Research Data Analyst – Quantitative Investing

Fynetra; Boston (MA); Hybrid; USD 70,000 - 90,000; Full time

Job summary

Fynetra is looking for a Research Data Analyst in Boston, MA, to enhance the reliability and usability of research data within a quantitative investment environment. You'll oversee data quality, monitor feeds, and work closely with research and investment teams.

The ideal candidate will have experience with financial data, strong Python and SQL skills, and a background in data analysis. This role includes a hybrid working option to foster collaboration while maintaining data integrity.

Qualifications

• Experience working with financial or market data in an investment environment.
• Several years of relevant experience in data, analytics, or research support roles.
• Demonstrated interest in building a long-term, data-focused career.

Responsibilities

• Monitoring research data feeds and identifying anomalies or breaks.
• Investigating and resolving data quality issues at the source.
• Building and maintaining data quality controls and validation checks.
• Onboarding new datasets and integrating them into existing pipelines.
• Partnering with research and investment teams to support data needs.

Skills

Python

SQL

Data analysis

Data quality

Attention to detail

Education

Bachelor's degree in a quantitative or technical discipline

Job description

Research Data Analyst – Quantitative Investing

The Role

This role sits within a quantitative research environment where high-quality data is foundational to every investment decision.

You’ll be responsible for the reliability, transparency, and usability of research data across multiple asset classes. The work is hands‑on and detail‑driven, but also highly visible — your output directly impacts how researchers and portfolio teams build and test investment ideas.

This is a strong fit for someone who enjoys owning data quality end to end and wants to sit close to the investment process rather than in a pure support function.

What You’ll Be Working On

• Monitoring research data feeds and identifying anomalies or breaks
• Investigating and resolving data quality issues at the source
• Building and maintaining data quality controls and validation checks
• Onboarding new datasets and integrating them into existing pipelines
• Developing deep expertise across market, reference, fundamental, and macro data
• Partnering with research and investment teams to support data needs
• Working with data engineers to improve pipelines and monitoring
• Documenting datasets, processes, and usage for wider transparency
• Participating in an on‑call rotation to support critical data processing

What They’re Looking For

• Experience working with financial or market data in an investment or data‑driven environment
• Strong Python and SQL skills for data analysis and automation
• Hands‑on experience with data pipelines and workflow orchestration
• Strong understanding of data quality, validation, and governance concepts
• Comfortable working across multiple asset classes and datasets
• High attention to detail with the ability to communicate clearly

Background

• Bachelor’s degree in a quantitative or technical discipline
• Several years of relevant experience in data, analytics, or research support roles
• Demonstrated interest in building a long‑term, data‑focused career

Experience with cloud‑based data platforms, large‑scale processing, or anomaly detection techniques is a plus.

Why This Role

• Data quality is taken seriously and treated as a core investment input
• Direct interaction with researchers and portfolio teams
• Ownership over datasets used in live research and strategies
• Hybrid working with a focused, collaborative culture